SafeMode - Analysis: nishikajn42.github.io

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Captura Visual

Informações de Detecção

http://nishikajn42.github.io/AmazonClone

Detected Brand

Amazon

Country

Unknown

Confiança

100%

HTTP Status

200

Report ID

75290bd0-089…

Analyzed

2026-05-06 10:17

Final URL (after redirects)

https://nishikajn42.github.io/AmazonClone/

Hashes de Conteúdo (Similaridade HTML)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T140A1DEB0A482B93701E7C3D9EE399B5EA2D48690EB03970513F8C39D8ACEF5EDD61411
CONTENT ssdeep	96:TtNkJJogm7DeItCjkGw7xvk9QfDQis9zWIO/3jejAh/+rfkKB:BaJogWpe4KQ/3jec9+zkKB

Hashes Visuais (Similaridade de Captura)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	cc4d4d4d4d4d4d4d
VISUAL aHash	00ffffffffffffff
VISUAL dHash	630846bbaaaaabaa
VISUAL wHash	00ffff007e7e0054
VISUAL colorHash	07007000000
VISUAL cropResistant	80008262eae282c2,00009fb9aaaaabaa,62637362620de3e3

Análise de Código

Nível de Ameaça ALTO

⚠️ Phishing Confirmed

📊 Detalhamento da Pontuação de Risco

Total Risk Score

40/100

🔬 Análise Integral de Ameaças

Tipo de Ameaça

Amazon Phishing Landing Page

Alvo

Amazon users

Método de Ataque

Phishing webpage

Canal de Exfiltração

Form submission (backend endpoint not detected - likely JavaScript-based)

Avaliação de Risco

LOW - Automated credential harvesting with Form submission (backend endpoint not detected - likely JavaScript-based)

🏢 Análise de Falsificação de Marca

Impersonated Brand

Amazon

Official Website

https://www.amazon.com

Fake Service

Credential harvesting service

⚔️ Metodologia de Ataque

Primary Method: SEO Poisoning Landing Page

Fake Amazon page designed to appear in search results and trick users into visiting. May redirect to credential harvesting pages, malware downloads, or serve as a trust-building step before requesting sensitive information.

Secondary Method: Standard Phishing Techniques

Uses typical phishing tactics including brand impersonation, urgency tactics, and social engineering to trick victims into providing sensitive information.